{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Housekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "# Bunch of imports \n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import scipy.io as sio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## load Example Sonogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "DS_read_Sono='FigS3'\n",
    "\n",
    "\n",
    "Data_read=sio.loadmat(DS_read_Sono+'.mat',squeeze_me=True)\n",
    "\n",
    "Sono_TTilde_show=Data_read['Sono_TTilde']\n",
    "Sono_nTilde_show=Data_read['Sono_density']\n",
    "Sono_T_show=Data_read['Sono_T']\n",
    "Sono_rf_show=Data_read['Sono_rf']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## colormap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import colors as mcolors\n",
    "colorsraw = [\n",
    "    (10, 49, 244),\n",
    "#     (130,75,111),\n",
    "    (252, 30, 32)\n",
    "]\n",
    "colors = [[c/255 for c in cl] for cl in colorsraw]\n",
    "\n",
    "cmapbuild = mcolors.LinearSegmentedColormap.from_list('colormap', colors)\n",
    "\n",
    "def cmapscaled2(temp, cscale, alpha, saturation=0.7, lightness=0.9):\n",
    "#     return [*cmapbuild(temp/cscale)[:2],alpha]\n",
    "    temp=temp-.07\n",
    "    originalhsv = np.array(mcolors.rgb_to_hsv(cmapbuild(temp/cscale)[:3]))\n",
    "    modifier = np.array([0,saturation,lightness])\n",
    "    newrgb = mcolors.hsv_to_rgb(originalhsv-modifier)\n",
    "    return [*newrgb[:3], alpha]\n",
    "\n",
    "cmapscaled = cmapscaled2\n",
    "\n",
    "cscale=1\n",
    "\n",
    "fillcmap = lambda temp: cmapscaled(temp, cscale, 0.2, 0, 0.1)\n",
    "facecmap = lambda temp: cmapscaled(temp, cscale, 1, 0.4,.010)\n",
    "edgecmap = lambda temp: cmapscaled(temp, cscale, 1, 0.1,0.025)\n",
    "linecmap = lambda temp: cmapscaled(temp, cscale, 0.9,0.1,.025)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/n9/rcvpsjbd7mgdmnxtthsmf5400000gn/T/ipykernel_54338/3176581072.py:4: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\n",
      "  bwr_cmap = cm.get_cmap('bwr', 256)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import cm\n",
    "from matplotlib.colors import ListedColormap, LinearSegmentedColormap\n",
    "\n",
    "bwr_cmap = cm.get_cmap('bwr', 256)\n",
    "\n",
    "a=0.7\n",
    "\n",
    "sclae=a*np.linspace(0, 1, 256)+(1-a)*(((np.linspace(0, 1, 256)-0.5)*2)**3/2+0.5)\n",
    "\n",
    "plt.plot(sclae)\n",
    "\n",
    "bwr_nc = bwr_cmap(sclae)\n",
    "bwr_nc = ListedColormap(bwr_nc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make the figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_offset=0.06\n",
    "box_height_top=0.18\n",
    "box_height_bottom=0.18\n",
    "box_width=0.34\n",
    "box_spacing_v=0.10\n",
    "box_spacing_h=0.18\n",
    "\n",
    "cb_width=0.01\n",
    "cb_spacing=0.006\n",
    "\n",
    "TTilde_spacing=0.012\n",
    "n_spacing=0.15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 675x675 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axs=plt.subplots(ncols=2,nrows=2,figsize=[6.75,6.75],)\n",
    "\n",
    "axs[0,0].set_position([x_offset,0.08+box_spacing_v+box_height_bottom,box_width,box_height_top])\n",
    "axs[0,1].set_position([x_offset+box_spacing_h+box_width,0.08+box_spacing_v+box_height_bottom,box_width,box_height_top])\n",
    "axs[1,0].set_position([x_offset,0.08,box_width,box_height_bottom])\n",
    "axs[1,1].set_position([x_offset+box_spacing_h+box_width,0.08,box_width,box_height_bottom])\n",
    "\n",
    "axs[0,0].tick_params(axis='both',direction='in',right=1,top=1,length=2.5,labelsize=9)\n",
    "# axs[0,0].set_xticklabels([])\n",
    "axs[0,0].set_xlim([10,100])\n",
    "\n",
    "axs[0,1].tick_params(axis='both',direction='in',right=1,top=1,length=2.5,labelsize=9)\n",
    "# axs[0,1].set_xticklabels([])\n",
    "axs[0,0].set_xlim([10,100])\n",
    "\n",
    "axs[1,0].tick_params(axis='both',direction='in',right=1,top=1,length=2.5,labelsize=9)\n",
    "axs[1,1].tick_params(axis='both',direction='in',right=1,top=1,length=2.5,labelsize=9)\n",
    "\n",
    "# ax_cb_rf=fig.add_axes([x_offset+box_spacing_h+box_width,0.08+box_spacing_v+box_height_top+box_height_bottom+cb_spacing,box_width,cb_width])\n",
    "\n",
    "ax_cb_rf=fig.add_axes([x_offset+box_spacing_h+box_width*2+cb_spacing,0.08+box_spacing_v+box_height_bottom,cb_width,box_height_top])\n",
    "\n",
    "\n",
    "# ax_cb_n=fig.add_axes([x_offset+box_width+cb_spacing,0.08+box_spacing_v+box_height_top+box_height_bottom+cb_spacing,cb_width,box_width])\n",
    "\n",
    "ax_cb_n=fig.add_axes([x_offset+box_width+cb_spacing,0.08+box_spacing_v+box_height_bottom,cb_width,box_height_top])\n",
    "\n",
    "\n",
    "# ax_cb_T=fig.add_axes([x_offset,0.08+box_height_bottom+cb_spacing,box_width,cb_width])\n",
    "ax_cb_T=fig.add_axes([x_offset+box_width+cb_spacing,0.08,cb_width,box_height_top])\n",
    "\n",
    "# ax_cb_TTilde=fig.add_axes([x_offset+box_spacing_h+box_width,0.08+box_height_bottom+cb_spacing,box_width,cb_width])\n",
    "ax_cb_TTilde=fig.add_axes([x_offset+box_width*2+box_spacing_h+cb_spacing,0.08,cb_width,box_height_top])\n",
    "\n",
    "\n",
    "\n",
    "plt.sca(axs[0,0])\n",
    "plt.pcolor(*Sono_nTilde_show, cmap='BrBG_r',linewidth=0)\n",
    "plt.clim([-0.15,0.15])\n",
    "\n",
    "plt.ylim([0,92])\n",
    "plt.yticks([0,45,90])\n",
    "plt.ylabel('z ($\\mu$m)',fontsize=9,labelpad=2)\n",
    "\n",
    "ax_cb_n.tick_params(axis='both',direction='in',labelsize=9,length=2)\n",
    "cb_n=plt.colorbar(cax=ax_cb_n,orientation='vertical')\n",
    "cb_n.set_ticks([-0.1,0.1])\n",
    "ax_cb_n.xaxis.set_label_position('top') \n",
    "ax_cb_n.xaxis.set_ticks_position('top')\n",
    "\n",
    "ax_cb_n.set_ylabel(r'$\\Delta n/n_0$',fontsize=9,labelpad=-20)\n",
    "plt.xlabel(r'$\\omega/2\\pi\\ (\\mathrm{Hz})$',fontsize=9,labelpad=2)\n",
    "plt.title('Density',fontsize=12)\n",
    "\n",
    "\n",
    "plt.sca(axs[0,1])\n",
    "# plt.pcolor(*Sono_TTilde_show, cmap='bwr',linewidth=0)\n",
    "plt.pcolor(*Sono_rf_show, cmap=bwr_nc,linewidth=0)\n",
    "plt.clim([-0.031,0.031])\n",
    "plt.ylabel('z ($\\mu$m)',fontsize=9,labelpad=2)\n",
    "\n",
    "ax_cb_rf.tick_params(axis='both',direction='in',labelsize=9,length=2,top=True,bottom=False)\n",
    "cb_T=plt.colorbar(cax=ax_cb_rf,orientation='vertical')\n",
    "\n",
    "ax_cb_rf.xaxis.set_label_position('top') \n",
    "ax_cb_rf.xaxis.set_ticks_position('top')\n",
    "\n",
    "cb_T.set_ticks([-0.02,0.02])\n",
    "plt.ylim([0,92])\n",
    "plt.yticks([0,45,90])\n",
    "\n",
    "ax_cb_rf.set_ylabel(r'$\\Delta n_\\mathrm{f}/n_0$',fontsize=9,labelpad=-20)\n",
    "plt.xlabel(r'$\\omega/2\\pi\\ (\\mathrm{Hz})$',fontsize=9,labelpad=2)\n",
    "plt.title('rf Transfer',fontsize=12)\n",
    "\n",
    "\n",
    "plt.sca(axs[1,0])\n",
    "plt.pcolor(*Sono_T_show, cmap=bwr_nc,linewidth=0)\n",
    "plt.clim([-0.015,0.015])\n",
    "plt.ylim([0,92])\n",
    "plt.yticks([0,45,90])\n",
    "plt.ylabel('z ($\\mu$m)',fontsize=9,labelpad=2)\n",
    "plt.xlabel(r'$\\omega/2\\pi\\ (\\mathrm{Hz})$',fontsize=9,labelpad=2)\n",
    "ax_cb_T.tick_params(axis='both',direction='in',labelsize=9,length=2,top=True,bottom=False)\n",
    "cb_T=plt.colorbar(cax=ax_cb_T,orientation='vertical')\n",
    "cb_T.set_ticks([-0.015,0.015])\n",
    "ax_cb_T.xaxis.set_label_position('top') \n",
    "ax_cb_T.xaxis.set_ticks_position('top')\n",
    "\n",
    "ax_cb_T.set_ylabel(r'$\\Delta T/T_\\mathrm{F}$',fontsize=9,labelpad=-20)\n",
    "cb_T.set_ticks([-0.01,0.01])\n",
    "plt.title('Temperature',fontsize=12)\n",
    "\n",
    "\n",
    "plt.sca(axs[1,1])\n",
    "plt.pcolor(*Sono_TTilde_show, cmap=bwr_nc,linewidth=0)\n",
    "plt.clim([-0.012,0.012])\n",
    "plt.ylim([0,92])\n",
    "plt.yticks([0,45,90])\n",
    "plt.ylabel('z ($\\mu$m)',fontsize=9,labelpad=2)\n",
    "plt.xlabel(r'$\\omega/2\\pi\\ (\\mathrm{Hz})$',fontsize=9,labelpad=2)\n",
    "\n",
    "ax_cb_TTilde.tick_params(axis='both',direction='in',labelsize=9,length=2,top=True,bottom=False)\n",
    "cb_TTilde=plt.colorbar(cax=ax_cb_TTilde,orientation='vertical')\n",
    "\n",
    "\n",
    "ax_cb_TTilde.xaxis.set_label_position('top') \n",
    "ax_cb_TTilde.xaxis.set_ticks_position('top')\n",
    "ax_cb_TTilde.set_ylabel(r'$\\Delta (T/T_\\mathrm{F})$',fontsize=9,labelpad=-20)\n",
    "cb_TTilde.set_ticks([-0.01,0.01])\n",
    "plt.title('Entropy',fontsize=12)\n",
    "\n",
    "\n",
    "fig.savefig('FigS3.pdf',dpi=300)"
   ]
  },
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   "cell_type": "code",
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   "execution_count": 22,
   "metadata": {},
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   "source": []
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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